Line extensions have been a basis for strategic growth for many firms during the past decade. The viability of line extensions largely depends on how consumers perceive the new features of the extensions. This study examined how consumers differ in their evaluations of original products and line...

This study measures the degree of contagion or interpersonal influence in the diffusion of new consumer packaged goods (CPGs). The authors demonstrate that when an individual-level trial hazard model is properly specified to account for potential sources of biases, substantial contagion effects...

Abstract Market basket analysis (MBA) is a powerful and common practice in modern retailing that has some limitations stemming from the fact that it infers purchase sequence from joint-purchasing data. However, internet retailers automatically collect purchase-sequence data from their shoppers,...

Trendspotting has become an important marketing intelligence tool for identifying and tracking general tendencies in consumer interest and behavior. Currently, trendspotting is done either qualitatively by trend hunters, who comb through everyday life in search of signs indicating major shifts...

Paul Green, writing with Carmone and Wachpress (1976), was among the first scholars to introduce latent variable models to marketing by utilizing the CANDECOMP procedure (Carroll 1980) on contingency tables. A year later, Green, Carmone, and Wachpress (1977) introduced logit and log-linear...

We propose a unifying framework for benefit and demographic segmentation based on the analysis of rank-order choice data collected in conjoint studies. The model identifies a number of unobserved segments, estimates the conjoint model within each segment, and at the same time estimates the...

Our comments about the paper by Leeflang and Wittink wInternat. J. Res. Marketing, 17 2000. 105x comprise of two components: first, we address two issues on which we disagree with Leeflang and Wittink: soft versus hard data, and individual-level versus segment-level models. Secondly, we...

Many companies collect substantial information about their interactions with their customers.Yet information about their customers' transactions with competing firms is often sparse or nonexistent. As a result, firms are often compelled to manage customer relationships from an inward view of...

Modern businesses routinely capture data on millions of observations across subjects, brand SKUs, time periods, predictor variables, and store locations, thereby generating massive high-dimensional datasets. For example, Netflix has choice data on billions of movies selected, user ratings, and...